Big Data Tutorial | What Is Big Data | Big Data Hadoop Tutorial For Beginners |Big Data |Simplilearn

This Big Data tutorial will help you understand how Big Data evolved over the years, what is Big Data, applications of Big Data, a case study on Big Data, 3 important challenges of Big Data and how Hadoop solved those challenges. The case study talks about Google File System (GFS), where you’ll learn how Google solved its problem of storing increasing user data in early 2000. We’ll also look at the history of Hadoop, its ecosystem and a brief introduction to HDFS which is a distributed file system designed to store large volumes of data and MapReduce which allows parallel processing of data. In the end, we’ll run through some basic HDFS commands and see how to perform wordcount using MapReduce.

Below topics are explained in this Big Data tutorial for beginners:
1. Evolution of Big Data (00:01:01)
2. Why Big Data? (00:05:52)
3. What is Big Data? (00:10:28)
4. Challenges of Big Data (00:27:23)
5. Hadoop as a solution (00:31:01)
6. MapReduce algorithm (01:25:53)
7. Demo on HDFS and MapReduce (01:33:03)

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This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions.

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[jackvicky]

awseome video and great explanation. Please make one video about how to create mapreduce program using java/sacla in step by step tutorial

[K]

Sir please upload more videos daily tutorial of big data

[amalshaheen]

i need a good book about big data nalytics